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Related Questions
- What are the key techniques used by pre-trained language models to adapt to new tasks?
- How do fine-tuning and transfer learning contribute to a pre-trained model's ability to adapt to new tasks?
- What is the impact of limited training data on the performance of a pre-trained language model on a new task?
- Can pre-trained language models learn new tasks from a few examples, and if so, what are the implications?
- What is the role of prompt engineering in enabling pre-trained language models to adapt to new tasks?
- How do pre-trained language models handle out-of-domain data when adapting to a new task?
- What are some common challenges that pre-trained language models face when adapting to new tasks and how can they be addressed?
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